Matrix contains pre-normalized expression values for 100 genes over 10 time points.

Which genes show increasing expression and which genes show decreasing expression, and how did you determine this?

• K-means clustering: the centroids are computed by averaging the observations that were assigned to it (e.g., computing the ‘mean’ of the observations).

• Principal component analysis (PCA): minimize the sum of squared distances (T-sne,UMAP)

• shiny / github